Contents: Ensemble Techniques Project
# Import all the relevant libraries needed to complete the analysis, visualization, modeling and presentation
import pandas as pd
import numpy as np
import os
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
sns.set_style('darkgrid')
%matplotlib inline
from scipy import stats
from scipy.stats import zscore
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import RobustScaler
from sklearn import model_selection
from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV, RandomizedSearchCV
from sklearn.metrics import accuracy_score, confusion_matrix, classification_report, roc_curve, auc, roc_auc_score
from sklearn.neighbors import KNeighborsClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
import xgboost as xgb
from xgboost import plot_importance
from imblearn.over_sampling import RandomOverSampler
from imblearn.over_sampling import SMOTENC
from imblearn.over_sampling import SMOTE
import warnings
warnings.filterwarnings("ignore")
C:\Anaconda\lib\site-packages\xgboost\compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead. from pandas import MultiIndex, Int64Index
# CSV File 1
dfa1=pd.read_csv('TelcomCustomer-Churn_1.csv')
dfa1.info()
dfa1.head()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 7043 entries, 0 to 7042 Data columns (total 10 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 customerID 7043 non-null object 1 gender 7043 non-null object 2 SeniorCitizen 7043 non-null int64 3 Partner 7043 non-null object 4 Dependents 7043 non-null object 5 tenure 7043 non-null int64 6 PhoneService 7043 non-null object 7 MultipleLines 7043 non-null object 8 InternetService 7043 non-null object 9 OnlineSecurity 7043 non-null object dtypes: int64(2), object(8) memory usage: 550.4+ KB
| customerID | gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7590-VHVEG | Female | 0 | Yes | No | 1 | No | No phone service | DSL | No |
| 1 | 5575-GNVDE | Male | 0 | No | No | 34 | Yes | No | DSL | Yes |
| 2 | 3668-QPYBK | Male | 0 | No | No | 2 | Yes | No | DSL | Yes |
| 3 | 7795-CFOCW | Male | 0 | No | No | 45 | No | No phone service | DSL | Yes |
| 4 | 9237-HQITU | Female | 0 | No | No | 2 | Yes | No | Fiber optic | No |
# CSV File 2
dfa2=pd.read_csv('TelcomCustomer-Churn_2.csv')
dfa2.info()
dfa2.head()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 7043 entries, 0 to 7042 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 customerID 7043 non-null object 1 OnlineBackup 7043 non-null object 2 DeviceProtection 7043 non-null object 3 TechSupport 7043 non-null object 4 StreamingTV 7043 non-null object 5 StreamingMovies 7043 non-null object 6 Contract 7043 non-null object 7 PaperlessBilling 7043 non-null object 8 PaymentMethod 7043 non-null object 9 MonthlyCharges 7043 non-null float64 10 TotalCharges 7043 non-null object 11 Churn 7043 non-null object dtypes: float64(1), object(11) memory usage: 660.4+ KB
| customerID | OnlineBackup | DeviceProtection | TechSupport | StreamingTV | StreamingMovies | Contract | PaperlessBilling | PaymentMethod | MonthlyCharges | TotalCharges | Churn | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7590-VHVEG | Yes | No | No | No | No | Month-to-month | Yes | Electronic check | 29.85 | 29.85 | No |
| 1 | 5575-GNVDE | No | Yes | No | No | No | One year | No | Mailed check | 56.95 | 1889.5 | No |
| 2 | 3668-QPYBK | Yes | No | No | No | No | Month-to-month | Yes | Mailed check | 53.85 | 108.15 | Yes |
| 3 | 7795-CFOCW | No | Yes | Yes | No | No | One year | No | Bank transfer (automatic) | 42.30 | 1840.75 | No |
| 4 | 9237-HQITU | No | No | No | No | No | Month-to-month | Yes | Electronic check | 70.70 | 151.65 | Yes |
# customerID is common in both the dataframes
dfa=dfa1.merge(dfa2, left_on='customerID', right_on='customerID')
dfa.info()
dfa.head()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 21 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 customerID 7043 non-null object 1 gender 7043 non-null object 2 SeniorCitizen 7043 non-null int64 3 Partner 7043 non-null object 4 Dependents 7043 non-null object 5 tenure 7043 non-null int64 6 PhoneService 7043 non-null object 7 MultipleLines 7043 non-null object 8 InternetService 7043 non-null object 9 OnlineSecurity 7043 non-null object 10 OnlineBackup 7043 non-null object 11 DeviceProtection 7043 non-null object 12 TechSupport 7043 non-null object 13 StreamingTV 7043 non-null object 14 StreamingMovies 7043 non-null object 15 Contract 7043 non-null object 16 PaperlessBilling 7043 non-null object 17 PaymentMethod 7043 non-null object 18 MonthlyCharges 7043 non-null float64 19 TotalCharges 7043 non-null object 20 Churn 7043 non-null object dtypes: float64(1), int64(2), object(18) memory usage: 1.2+ MB
| customerID | gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | ... | DeviceProtection | TechSupport | StreamingTV | StreamingMovies | Contract | PaperlessBilling | PaymentMethod | MonthlyCharges | TotalCharges | Churn | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7590-VHVEG | Female | 0 | Yes | No | 1 | No | No phone service | DSL | No | ... | No | No | No | No | Month-to-month | Yes | Electronic check | 29.85 | 29.85 | No |
| 1 | 5575-GNVDE | Male | 0 | No | No | 34 | Yes | No | DSL | Yes | ... | Yes | No | No | No | One year | No | Mailed check | 56.95 | 1889.5 | No |
| 2 | 3668-QPYBK | Male | 0 | No | No | 2 | Yes | No | DSL | Yes | ... | No | No | No | No | Month-to-month | Yes | Mailed check | 53.85 | 108.15 | Yes |
| 3 | 7795-CFOCW | Male | 0 | No | No | 45 | No | No phone service | DSL | Yes | ... | Yes | Yes | No | No | One year | No | Bank transfer (automatic) | 42.30 | 1840.75 | No |
| 4 | 9237-HQITU | Female | 0 | No | No | 2 | Yes | No | Fiber optic | No | ... | No | No | No | No | Month-to-month | Yes | Electronic check | 70.70 | 151.65 | Yes |
5 rows × 21 columns
# By default, pd.merge gives you an inner merge so you only see the matched.
# Approach 1 is to do instead an outer merge
# And check which rows have np.nan for identifying those that could have missed out from an inner merge:
option1 = dfa1.merge(dfa2, on='customerID', how='outer')
print(option1[option1.isna().any(axis=1)])
Empty DataFrame Columns: [customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod, MonthlyCharges, TotalCharges, Churn] Index: [] [0 rows x 21 columns]
dfa.columns
Index(['customerID', 'gender', 'SeniorCitizen', 'Partner', 'Dependents',
'tenure', 'PhoneService', 'MultipleLines', 'InternetService',
'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',
'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling',
'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn'],
dtype='object')
(This part will continue in 2B)
# Percentage of missing values
# df.isnull().sum()
# df.isna().sum()
def missing_check(df):
total = df.isnull().sum().sort_values(ascending=False) # total number of null values
percent = (df.isnull().sum()/df.isnull().count()).sort_values(ascending=False) # percentage of values that are null
missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent']) # putting the above two together
return missing_data # return the dataframe
missing_check(dfa)
| Total | Percent | |
|---|---|---|
| customerID | 0 | 0.0 |
| DeviceProtection | 0 | 0.0 |
| TotalCharges | 0 | 0.0 |
| MonthlyCharges | 0 | 0.0 |
| PaymentMethod | 0 | 0.0 |
| PaperlessBilling | 0 | 0.0 |
| Contract | 0 | 0.0 |
| StreamingMovies | 0 | 0.0 |
| StreamingTV | 0 | 0.0 |
| TechSupport | 0 | 0.0 |
| OnlineBackup | 0 | 0.0 |
| gender | 0 | 0.0 |
| OnlineSecurity | 0 | 0.0 |
| InternetService | 0 | 0.0 |
| MultipleLines | 0 | 0.0 |
| PhoneService | 0 | 0.0 |
| tenure | 0 | 0.0 |
| Dependents | 0 | 0.0 |
| Partner | 0 | 0.0 |
| SeniorCitizen | 0 | 0.0 |
| Churn | 0 | 0.0 |
# Get a list of categories of categorical variable
print(dfa.gender.value_counts())
print(dfa.SeniorCitizen.value_counts())
print(dfa.Partner.value_counts())
print(dfa.Dependents.value_counts())
print(dfa.tenure.value_counts())
print(dfa.PhoneService.value_counts())
print(dfa.MultipleLines.value_counts())
print(dfa.InternetService.value_counts())
print(dfa.OnlineSecurity.value_counts())
print(dfa.OnlineBackup.value_counts())
print(dfa.DeviceProtection.value_counts())
print(dfa.TechSupport.value_counts())
print(dfa.StreamingTV.value_counts())
print(dfa.StreamingMovies.value_counts())
print(dfa.Contract.value_counts())
print(dfa.PaperlessBilling.value_counts())
print(dfa.PaymentMethod.value_counts())
print(dfa.MonthlyCharges.value_counts())
print(dfa.TotalCharges.value_counts())
print(dfa.Churn.value_counts())
Male 3555
Female 3488
Name: gender, dtype: int64
0 5901
1 1142
Name: SeniorCitizen, dtype: int64
No 3641
Yes 3402
Name: Partner, dtype: int64
No 4933
Yes 2110
Name: Dependents, dtype: int64
1 613
72 362
2 238
3 200
4 176
...
28 57
39 56
44 51
36 50
0 11
Name: tenure, Length: 73, dtype: int64
Yes 6361
No 682
Name: PhoneService, dtype: int64
No 3390
Yes 2971
No phone service 682
Name: MultipleLines, dtype: int64
Fiber optic 3096
DSL 2421
No 1526
Name: InternetService, dtype: int64
No 3498
Yes 2019
No internet service 1526
Name: OnlineSecurity, dtype: int64
No 3088
Yes 2429
No internet service 1526
Name: OnlineBackup, dtype: int64
No 3095
Yes 2422
No internet service 1526
Name: DeviceProtection, dtype: int64
No 3473
Yes 2044
No internet service 1526
Name: TechSupport, dtype: int64
No 2810
Yes 2707
No internet service 1526
Name: StreamingTV, dtype: int64
No 2785
Yes 2732
No internet service 1526
Name: StreamingMovies, dtype: int64
Month-to-month 3875
Two year 1695
One year 1473
Name: Contract, dtype: int64
Yes 4171
No 2872
Name: PaperlessBilling, dtype: int64
Electronic check 2365
Mailed check 1612
Bank transfer (automatic) 1544
Credit card (automatic) 1522
Name: PaymentMethod, dtype: int64
20.05 61
19.85 45
19.95 44
19.90 44
20.00 43
..
23.65 1
114.70 1
43.65 1
87.80 1
78.70 1
Name: MonthlyCharges, Length: 1585, dtype: int64
11
20.2 11
19.75 9
20.05 8
19.9 8
..
6849.4 1
692.35 1
130.15 1
3211.9 1
6844.5 1
Name: TotalCharges, Length: 6531, dtype: int64
No 5174
Yes 1869
Name: Churn, dtype: int64
For Example: MonthlyCharges, TotalCharges
dfa.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 21 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 customerID 7043 non-null object 1 gender 7043 non-null object 2 SeniorCitizen 7043 non-null int64 3 Partner 7043 non-null object 4 Dependents 7043 non-null object 5 tenure 7043 non-null int64 6 PhoneService 7043 non-null object 7 MultipleLines 7043 non-null object 8 InternetService 7043 non-null object 9 OnlineSecurity 7043 non-null object 10 OnlineBackup 7043 non-null object 11 DeviceProtection 7043 non-null object 12 TechSupport 7043 non-null object 13 StreamingTV 7043 non-null object 14 StreamingMovies 7043 non-null object 15 Contract 7043 non-null object 16 PaperlessBilling 7043 non-null object 17 PaymentMethod 7043 non-null object 18 MonthlyCharges 7043 non-null float64 19 TotalCharges 7043 non-null object 20 Churn 7043 non-null object dtypes: float64(1), int64(2), object(18) memory usage: 1.2+ MB
dfa.head().T
| 0 | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|
| customerID | 7590-VHVEG | 5575-GNVDE | 3668-QPYBK | 7795-CFOCW | 9237-HQITU |
| gender | Female | Male | Male | Male | Female |
| SeniorCitizen | 0 | 0 | 0 | 0 | 0 |
| Partner | Yes | No | No | No | No |
| Dependents | No | No | No | No | No |
| tenure | 1 | 34 | 2 | 45 | 2 |
| PhoneService | No | Yes | Yes | No | Yes |
| MultipleLines | No phone service | No | No | No phone service | No |
| InternetService | DSL | DSL | DSL | DSL | Fiber optic |
| OnlineSecurity | No | Yes | Yes | Yes | No |
| OnlineBackup | Yes | No | Yes | No | No |
| DeviceProtection | No | Yes | No | Yes | No |
| TechSupport | No | No | No | Yes | No |
| StreamingTV | No | No | No | No | No |
| StreamingMovies | No | No | No | No | No |
| Contract | Month-to-month | One year | Month-to-month | One year | Month-to-month |
| PaperlessBilling | Yes | No | Yes | No | Yes |
| PaymentMethod | Electronic check | Mailed check | Mailed check | Bank transfer (automatic) | Electronic check |
| MonthlyCharges | 29.85 | 56.95 | 53.85 | 42.3 | 70.7 |
| TotalCharges | 29.85 | 1889.5 | 108.15 | 1840.75 | 151.65 |
| Churn | No | No | Yes | No | Yes |
# Change the Datatype of quantitative features
col_cat=['SeniorCitizen','tenure','MonthlyCharges','TotalCharges']
#Function to convert the categorical to quantitative
def convert_to_cont(feature):
dfa[feature]=pd.to_numeric(dfa[feature], errors='coerce')
for c in col_cat:
convert_to_cont(c)
dfa.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 21 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 customerID 7043 non-null object 1 gender 7043 non-null object 2 SeniorCitizen 7043 non-null int64 3 Partner 7043 non-null object 4 Dependents 7043 non-null object 5 tenure 7043 non-null int64 6 PhoneService 7043 non-null object 7 MultipleLines 7043 non-null object 8 InternetService 7043 non-null object 9 OnlineSecurity 7043 non-null object 10 OnlineBackup 7043 non-null object 11 DeviceProtection 7043 non-null object 12 TechSupport 7043 non-null object 13 StreamingTV 7043 non-null object 14 StreamingMovies 7043 non-null object 15 Contract 7043 non-null object 16 PaperlessBilling 7043 non-null object 17 PaymentMethod 7043 non-null object 18 MonthlyCharges 7043 non-null float64 19 TotalCharges 7032 non-null float64 20 Churn 7043 non-null object dtypes: float64(2), int64(2), object(17) memory usage: 1.2+ MB
dfa.isnull().sum()
customerID 0 gender 0 SeniorCitizen 0 Partner 0 Dependents 0 tenure 0 PhoneService 0 MultipleLines 0 InternetService 0 OnlineSecurity 0 OnlineBackup 0 DeviceProtection 0 TechSupport 0 StreamingTV 0 StreamingMovies 0 Contract 0 PaperlessBilling 0 PaymentMethod 0 MonthlyCharges 0 TotalCharges 11 Churn 0 dtype: int64
dfa.fillna(dfa.mean(),inplace = True)
dfa.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 21 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 customerID 7043 non-null object 1 gender 7043 non-null object 2 SeniorCitizen 7043 non-null int64 3 Partner 7043 non-null object 4 Dependents 7043 non-null object 5 tenure 7043 non-null int64 6 PhoneService 7043 non-null object 7 MultipleLines 7043 non-null object 8 InternetService 7043 non-null object 9 OnlineSecurity 7043 non-null object 10 OnlineBackup 7043 non-null object 11 DeviceProtection 7043 non-null object 12 TechSupport 7043 non-null object 13 StreamingTV 7043 non-null object 14 StreamingMovies 7043 non-null object 15 Contract 7043 non-null object 16 PaperlessBilling 7043 non-null object 17 PaymentMethod 7043 non-null object 18 MonthlyCharges 7043 non-null float64 19 TotalCharges 7043 non-null float64 20 Churn 7043 non-null object dtypes: float64(2), int64(2), object(17) memory usage: 1.2+ MB
# CustomerID is the id of the customer with corresponding details. This information may not be requried
# for analysis and modeling as the customerID will be all unique values. So we can drop it safely.
dfa.drop(['customerID'], axis=1, inplace=True)
dfa.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 20 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 gender 7043 non-null object 1 SeniorCitizen 7043 non-null int64 2 Partner 7043 non-null object 3 Dependents 7043 non-null object 4 tenure 7043 non-null int64 5 PhoneService 7043 non-null object 6 MultipleLines 7043 non-null object 7 InternetService 7043 non-null object 8 OnlineSecurity 7043 non-null object 9 OnlineBackup 7043 non-null object 10 DeviceProtection 7043 non-null object 11 TechSupport 7043 non-null object 12 StreamingTV 7043 non-null object 13 StreamingMovies 7043 non-null object 14 Contract 7043 non-null object 15 PaperlessBilling 7043 non-null object 16 PaymentMethod 7043 non-null object 17 MonthlyCharges 7043 non-null float64 18 TotalCharges 7043 non-null float64 19 Churn 7043 non-null object dtypes: float64(2), int64(2), object(16) memory usage: 1.1+ MB
# Describe function generates descriptive statistics that summarize the central tendency,
# dispersion and shape of a dataset’s distribution, excluding NaN values.
# This method tells us a lot of things about a dataset. One important thing is that
# the describe() method deals only with numeric values. It doesn't work with any
# categorical values. So if there are any categorical values in a column the describe()
# method will ignore it and display summary for the other columns.
dfa.describe().T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| SeniorCitizen | 7043.0 | 0.162147 | 0.368612 | 0.00 | 0.000 | 0.00 | 0.00 | 1.00 |
| tenure | 7043.0 | 32.371149 | 24.559481 | 0.00 | 9.000 | 29.00 | 55.00 | 72.00 |
| MonthlyCharges | 7043.0 | 64.761692 | 30.090047 | 18.25 | 35.500 | 70.35 | 89.85 | 118.75 |
| TotalCharges | 7043.0 | 2283.300441 | 2265.000258 | 18.80 | 402.225 | 1400.55 | 3786.60 | 8684.80 |
# Distribution of Continuous Features
int_feat = dfa.select_dtypes(exclude=['object','category']).columns
fig, ax = plt.subplots(nrows=2, ncols = 2, figsize=(15,8), constrained_layout=True)
ax=ax.flatten()
for c,i in enumerate(int_feat):
sns.histplot(dfa[i], ax=ax[c], bins=10)
ax[c].set_title(i)
# Distribution of Categorical Features
cat_cols = dfa.select_dtypes(include=['object','category']).columns
fig, ax = plt.subplots(nrows=4, ncols=4, figsize=(15,15), constrained_layout=True)
ax=ax.flatten()
for x,i in enumerate(cat_cols):
sns.countplot(x=dfa[i], ax=ax[x])
# Visualize a pairplot with 2 classes distinguished by colors
sns.pairplot(dfa,hue='Churn', corner=True )
<seaborn.axisgrid.PairGrid at 0x28120bcb250>
sns.heatmap(dfa.corr(), annot=True)
<AxesSubplot:>
# Box Plot
plt.figure(figsize=(20,8))
ax = sns.boxplot(data=dfa, orient="h", palette="Set2")
# Distribution of Target Variable
count_no_churn = (dfa['Churn'] == 'No').sum()
print("Number of customers who didn't churn:",count_no_churn)
count_yes_churn = (dfa['Churn']== 'Yes').sum()
print("Number of customers who churned:",count_yes_churn)
Number of customers who didn't churn: 5174 Number of customers who churned: 1869
fig, ax = plt.subplots(figsize=(20,8))
width = len(dfa['Churn'].unique())+6
fig.set_size_inches(width , 8)
ax=sns.countplot(data = dfa, x= 'Churn')
for p in ax.patches:
ax.annotate(str((np.round(p.get_height()/len(dfa)*100,decimals=2)))+'%',
(p.get_x()+p.get_width()/2., p.get_height()), ha='center', va='center',
xytext=(0, 10), textcoords='offset points')
Imbalanced dataset:
#Function to plot Pie-Charts for all categorical variables in the dataframe
def pie_charts_for_CategoricalVar(df,m):
'''Takes in a dataframe(df_pie) and plots pie charts for all categorical
columns. m = number of columns required in grid'''
#get all the column names in the dataframe
a = []
for i in df:
a.append(i)
#isolate the categorical variable names from a to b
b = []
for i in a:
if (df[i].dtype.name) == 'object':
b.append(i)
plt.figure(figsize=(15, 12))
plt.subplots_adjust(hspace=0.2)
plt.suptitle("Pie-Charts for Categorical Variables in the dataframe", fontsize=18, y=0.95)
# number of columns, as inputted while calling the function
ncols = m
# calculate number of rows
nrows = len(b) // ncols + (len(b) % ncols > 0)
# loop through the length of 'b' and keep track of index
for n, i in enumerate(b):
# add a new subplot iteratively using nrows and ncols
ax = plt.subplot(nrows, ncols, n + 1)
# filter df and plot 'i' on the new subplot axis
df.groupby(i).size().plot(kind='pie', autopct='%.2f%%',ax=ax)
ax.set_title(i.upper())
ax.set_xlabel("")
ax.set_ylabel("")
plt.show()
pie_charts_for_CategoricalVar(dfa,4)
Insights from the above pie charts:
If the imbalanced data is not treated beforehand, then this will degrade the performance of the ML model. Most of the predictions will correspond to the majority class and treat the minority class of features as noise in the data and ignore them. This results in a high bias and low performance of the model.
A widely adopted technique for dealing with highly unbalanced datasets is called re-sampling.
Two widely used re-sampling methods are:
Under-sampling: It is the process where you randomly delete some of the observations from the majority class in order to match the numbers with the minority class.
Over-sampling: It is the process of generating synthetic data that tries to randomly generate a sample of the attributes from observations in the minority class
Here we will use oversampling because under-sampling may remove important information from the dataset
There are a lot of Yes/No values, we can replace them with 1 or 0:
# Feature engineering - convert the object features to integer based on the category
dfa=dfa.replace('Yes',1)
dfa=dfa.replace('No',0)
dfa=dfa.replace('No internet service',0)
dfa=dfa.replace('No phone service',0)
dfa=dfa.replace('Fiber optic',2)
dfa=dfa.replace('DSL',1)
dfa=dfa.replace('Male',1)
dfa=dfa.replace('Female',0)
dfa=pd.get_dummies(data=dfa, columns=['Contract','PaymentMethod'],drop_first=True )
dfa.head()
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | StreamingMovies | PaperlessBilling | MonthlyCharges | TotalCharges | Churn | Contract_One year | Contract_Two year | PaymentMethod_Credit card (automatic) | PaymentMethod_Electronic check | PaymentMethod_Mailed check | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | ... | 0 | 1 | 29.85 | 29.85 | 0 | 0 | 0 | 0 | 1 | 0 |
| 1 | 1 | 0 | 0 | 0 | 34 | 1 | 0 | 1 | 1 | 0 | ... | 0 | 0 | 56.95 | 1889.50 | 0 | 1 | 0 | 0 | 0 | 1 |
| 2 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | ... | 0 | 1 | 53.85 | 108.15 | 1 | 0 | 0 | 0 | 0 | 1 |
| 3 | 1 | 0 | 0 | 0 | 45 | 0 | 0 | 1 | 1 | 0 | ... | 0 | 0 | 42.30 | 1840.75 | 0 | 1 | 0 | 0 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 2 | 0 | 0 | ... | 0 | 1 | 70.70 | 151.65 | 1 | 0 | 0 | 0 | 1 | 0 |
5 rows × 23 columns
# Create the features matrix and target vector
X=dfa.drop(['Churn'], axis=1)
y=dfa['Churn']
# Check for imbalanced dataset by numbers
y.value_counts()
0 5174 1 1869 Name: Churn, dtype: int64
# Check for imbalanced dataset by percentage
1869/5174*100
36.122922303826826
# Split the data for training and testing
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)
# Using different scaling methods:
# scaler = RobustScaler()
# scaler = MinMaxScaler()
scaler = StandardScaler()
cols_to_scale = ["MonthlyCharges","TotalCharges","tenure"]
X_train[cols_to_scale] = scaler.fit_transform(X_train[cols_to_scale])
X_test[cols_to_scale] = scaler.transform(X_test[cols_to_scale])
X_train.head()
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | StreamingTV | StreamingMovies | PaperlessBilling | MonthlyCharges | TotalCharges | Contract_One year | Contract_Two year | PaymentMethod_Credit card (automatic) | PaymentMethod_Electronic check | PaymentMethod_Mailed check | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2920 | 0 | 0 | 1 | 0 | 1.612532 | 1 | 0 | 1 | 1 | 1 | ... | 1 | 1 | 0 | 0.674154 | 1.704560 | 0 | 1 | 0 | 0 | 1 |
| 2966 | 0 | 1 | 0 | 0 | -0.747907 | 0 | 0 | 1 | 0 | 0 | ... | 1 | 1 | 1 | -0.614894 | -0.711711 | 0 | 0 | 0 | 1 | 0 |
| 6099 | 0 | 0 | 1 | 1 | 1.571835 | 1 | 1 | 0 | 0 | 0 | ... | 0 | 0 | 0 | -1.335097 | -0.210251 | 0 | 1 | 0 | 0 | 0 |
| 5482 | 1 | 0 | 1 | 1 | 0.025340 | 1 | 0 | 1 | 0 | 0 | ... | 1 | 1 | 1 | 0.301578 | 0.051750 | 1 | 0 | 0 | 0 | 1 |
| 2012 | 0 | 0 | 1 | 0 | 0.595101 | 1 | 1 | 2 | 1 | 1 | ... | 1 | 0 | 1 | 1.128231 | 0.989863 | 0 | 0 | 0 | 1 | 0 |
5 rows × 22 columns
X_test.head()
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | StreamingTV | StreamingMovies | PaperlessBilling | MonthlyCharges | TotalCharges | Contract_One year | Contract_Two year | PaymentMethod_Credit card (automatic) | PaymentMethod_Electronic check | PaymentMethod_Mailed check | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2200 | 0 | 0 | 0 | 0 | -0.544421 | 1 | 0 | 1 | 0 | 1 | ... | 1 | 0 | 0 | -0.220695 | -0.547525 | 1 | 0 | 0 | 1 | 0 |
| 4627 | 1 | 0 | 0 | 0 | 1.124165 | 1 | 1 | 2 | 1 | 1 | ... | 1 | 1 | 1 | 1.722025 | 2.098597 | 1 | 0 | 1 | 0 | 0 |
| 3225 | 0 | 0 | 0 | 0 | -0.788605 | 1 | 0 | 1 | 1 | 0 | ... | 1 | 1 | 1 | 0.236709 | -0.601027 | 0 | 0 | 0 | 1 | 0 |
| 2828 | 1 | 0 | 0 | 0 | -1.276971 | 1 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | -1.476477 | -0.999163 | 0 | 1 | 0 | 0 | 1 |
| 3768 | 0 | 0 | 1 | 0 | 0.920679 | 1 | 1 | 2 | 0 | 1 | ... | 0 | 0 | 1 | 0.429651 | 0.872062 | 0 | 0 | 1 | 0 | 0 |
5 rows × 22 columns
print(X_train.shape,X_test.shape)
print(y_train.shape,y_test.shape)
(5634, 22) (1409, 22) (5634,) (1409,)
Base model is created in 3A, and the parameter tuning is done in 3B. Considering both part 3A and 3B here.
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity=0)
# Train the model
model.fit(X_train, y_train)
model_pred = model.predict(X_test)
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.9435569755058573
Accuracy on Test data: 0.7778566359119943
Classification Report:
precision recall f1-score support
0 0.83 0.88 0.85 1041
1 0.59 0.49 0.53 368
accuracy 0.78 1409
macro avg 0.71 0.68 0.69 1409
weighted avg 0.77 0.78 0.77 1409
Confusion Matrix Chart:
# Default Parameters used in the base model:
print(model)
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
gamma=0, gpu_id=-1, importance_type=None,
interaction_constraints='', learning_rate=0.300000012,
max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
monotone_constraints='()', n_estimators=100, n_jobs=2,
num_parallel_tree=1, predictor='auto', random_state=0,
reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
tree_method='exact', validate_parameters=1, verbosity=0)
print('Before oversampling distribution of target vector:')
print(y.value_counts())
Before oversampling distribution of target vector: 0 5174 1 1869 Name: Churn, dtype: int64
# Using SMOTE
# Create the oversampler.
smote=SMOTE(random_state=0)
X1, y1=smote.fit_resample(X, y)
# Target vector is balanced after oversampling
print('After oversampling distribution of target vector:')
print(y1.value_counts())
After oversampling distribution of target vector: 0 5174 1 5174 Name: Churn, dtype: int64
# Split X and y into training and test set in 80:20 ratio
X_train, X_test, y_train, y_test = train_test_split(X1, y1, test_size=0.20, random_state=0)
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity=0)
# Train the model
model.fit(X_train, y_train)
model_pred = model.predict(X_test)
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.9544575984537328
Accuracy on Test data: 0.8396135265700483
Classification Report:
precision recall f1-score support
0 0.85 0.82 0.84 1033
1 0.83 0.86 0.84 1037
accuracy 0.84 2070
macro avg 0.84 0.84 0.84 2070
weighted avg 0.84 0.84 0.84 2070
Confusion Matrix Chart:
# Split X and y into training and test set in 80:20 ratio
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=0)
# Using SMOTE
# Create the oversampler.
smote=SMOTE(random_state=0)
X1, y1=smote.fit_resample(X_train, y_train)
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity=0)
# Train the model
model.fit(X1, y1)
model_pred = model.predict(X_test)
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.9391196308129216
Accuracy on Test data: 0.7622427253371186
Classification Report:
precision recall f1-score support
0 0.85 0.83 0.84 1041
1 0.54 0.58 0.56 368
accuracy 0.76 1409
macro avg 0.69 0.70 0.70 1409
weighted avg 0.77 0.76 0.76 1409
Confusion Matrix Chart:
Evaluation metrics allow us to estimate errors to determine how well our models are performing:
Accuracy: ratio of correct predictions over total predictions.
Precision: how often the classifier is correct when it predicts positive.
Recall: how often the classifier is correct for all positive instances.
F-Score: single measurement to combine precision and recall.
Considering the Prediction of customer churn (Recall) as the most important parameter to decide the best model for this problem. We have the highest Recall value here:
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity=0)
params = {'max_depth': [3, 5, 6, 10, 15, 20],
'learning_rate': [0.01, 0.1, 0.2, 0.3],
'subsample': np.arange(0.5, 1.0, 0.1),
'colsample_bytree': np.arange(0.4, 1.0, 0.1),
'colsample_bylevel': np.arange(0.4, 1.0, 0.1),
'n_estimators': [100, 500, 1000],
'min_child_weight': [0.5, 1.0, 3.0, 5.0, 7.0, 10.0],
'gamma':[i/10.0 for i in range(0,5)],
'reg_alpha':[1e-5, 1e-2, 0.1, 1, 100],
'reg_lambda': [0.1, 1.0, 5.0, 10.0, 50.0, 100.0]}
gs = RandomizedSearchCV(estimator=model, param_distributions=params, cv=5, verbose=10, n_jobs=2, random_state=0)
gs.fit(X1, y1)
Fitting 5 folds for each of 10 candidates, totalling 50 fits
RandomizedSearchCV(cv=5,
estimator=XGBClassifier(base_score=None, booster=None,
colsample_bylevel=None,
colsample_bynode=None,
colsample_bytree=None,
enable_categorical=False, gamma=None,
gpu_id=None, importance_type=None,
interaction_constraints=None,
learning_rate=None,
max_delta_step=None, max_depth=None,
min_child_weight=None, missing=nan,
monotone_constraints...
'colsample_bytree': array([0.4, 0.5, 0.6, 0.7, 0.8, 0.9]),
'gamma': [0.0, 0.1, 0.2, 0.3, 0.4],
'learning_rate': [0.01, 0.1, 0.2, 0.3],
'max_depth': [3, 5, 6, 10, 15, 20],
'min_child_weight': [0.5, 1.0, 3.0, 5.0,
7.0, 10.0],
'n_estimators': [100, 500, 1000],
'reg_alpha': [1e-05, 0.01, 0.1, 1, 100],
'reg_lambda': [0.1, 1.0, 5.0, 10.0,
50.0, 100.0],
'subsample': array([0.5, 0.6, 0.7, 0.8, 0.9])},
random_state=0, verbose=10)
pd.DataFrame({'param': gs.cv_results_["params"],
'score mean': gs.cv_results_["mean_test_score"],
'score s.d.': gs.cv_results_["std_test_score"],
'rank': gs.cv_results_["rank_test_score"]})
| param | score mean | score s.d. | rank | |
|---|---|---|---|---|
| 0 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.839235 | 0.084279 | 3 |
| 1 | {'subsample': 0.5, 'reg_lambda': 1.0, 'reg_alp... | 0.833188 | 0.088651 | 6 |
| 2 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.817454 | 0.052019 | 8 |
| 3 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.834880 | 0.084013 | 4 |
| 4 | {'subsample': 0.5, 'reg_lambda': 10.0, 'reg_al... | 0.816365 | 0.049265 | 9 |
| 5 | {'subsample': 0.7999999999999999, 'reg_lambda'... | 0.831129 | 0.078738 | 7 |
| 6 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.839356 | 0.081076 | 1 |
| 7 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.839354 | 0.074579 | 2 |
| 8 | {'subsample': 0.6, 'reg_lambda': 5.0, 'reg_alp... | 0.834275 | 0.082426 | 5 |
| 9 | {'subsample': 0.7999999999999999, 'reg_lambda'... | 0.798336 | 0.030971 | 10 |
print('Best Parameters:', gs.best_params_, 'mean score: ', gs.best_score_, sep='\n')
Best Parameters:
{'subsample': 0.8999999999999999, 'reg_lambda': 10.0, 'reg_alpha': 1e-05, 'n_estimators': 100, 'min_child_weight': 1.0, 'max_depth': 20, 'learning_rate': 0.3, 'gamma': 0.2, 'colsample_bytree': 0.8999999999999999, 'colsample_bylevel': 0.7}
mean score:
0.8393557278510875
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, subsample=0.899999999999999, reg_lambda=10.0, reg_alpha=1e-05, n_estimators=100,
min_child_weight=1.0, max_depth=20, learning_rate=0.3, gamma=0.2,
colsample_bytree=0.8999999999999999, colsample_bylevel=0.7, verbosity=0)
# Train the model
model.fit(X1, y1)
model_pred = model.predict(X_test)
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.9799432019879304
Accuracy on Test data: 0.7622427253371186
Classification Report:
precision recall f1-score support
0 0.84 0.84 0.84 1041
1 0.54 0.55 0.55 368
accuracy 0.76 1409
macro avg 0.69 0.69 0.69 1409
weighted avg 0.76 0.76 0.76 1409
Confusion Matrix Chart:
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity=0)
params = {'max_depth': [3, 5, 6, 10, 15, 20],
'learning_rate': [0.01, 0.1, 0.2, 0.3],
'subsample': np.arange(0.5, 1.0, 0.1),
'colsample_bytree': np.arange(0.4, 1.0, 0.1),
'colsample_bylevel': np.arange(0.4, 1.0, 0.1),
'n_estimators': [100, 500, 1000],
'min_child_weight': [0.5, 1.0, 3.0, 5.0, 7.0, 10.0],
'gamma':[i/10.0 for i in range(0,5)],
'reg_alpha':[1e-5, 1e-2, 0.1, 1, 100],
'reg_lambda': [0.1, 1.0, 5.0, 10.0, 50.0, 100.0]}
gs = RandomizedSearchCV(estimator=model, param_distributions=params, cv=5, verbose=10, n_jobs=2, random_state=0)
gs.fit(X_train, y_train)
Fitting 5 folds for each of 10 candidates, totalling 50 fits
RandomizedSearchCV(cv=5,
estimator=XGBClassifier(base_score=None, booster=None,
colsample_bylevel=None,
colsample_bynode=None,
colsample_bytree=None,
enable_categorical=False, gamma=None,
gpu_id=None, importance_type=None,
interaction_constraints=None,
learning_rate=None,
max_delta_step=None, max_depth=None,
min_child_weight=None, missing=nan,
monotone_constraints...
'colsample_bytree': array([0.4, 0.5, 0.6, 0.7, 0.8, 0.9]),
'gamma': [0.0, 0.1, 0.2, 0.3, 0.4],
'learning_rate': [0.01, 0.1, 0.2, 0.3],
'max_depth': [3, 5, 6, 10, 15, 20],
'min_child_weight': [0.5, 1.0, 3.0, 5.0,
7.0, 10.0],
'n_estimators': [100, 500, 1000],
'reg_alpha': [1e-05, 0.01, 0.1, 1, 100],
'reg_lambda': [0.1, 1.0, 5.0, 10.0,
50.0, 100.0],
'subsample': array([0.5, 0.6, 0.7, 0.8, 0.9])},
random_state=0, verbose=10)
pd.DataFrame({'param': gs.cv_results_["params"],
'score mean': gs.cv_results_["mean_test_score"],
'score s.d.': gs.cv_results_["std_test_score"],
'rank': gs.cv_results_["rank_test_score"]})
| param | score mean | score s.d. | rank | |
|---|---|---|---|---|
| 0 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.791622 | 0.009140 | 4 |
| 1 | {'subsample': 0.5, 'reg_lambda': 1.0, 'reg_alp... | 0.774759 | 0.008115 | 10 |
| 2 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.805112 | 0.007498 | 1 |
| 3 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.785410 | 0.007893 | 8 |
| 4 | {'subsample': 0.5, 'reg_lambda': 10.0, 'reg_al... | 0.804402 | 0.008132 | 2 |
| 5 | {'subsample': 0.7999999999999999, 'reg_lambda'... | 0.782924 | 0.008297 | 9 |
| 6 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.790202 | 0.010668 | 5 |
| 7 | {'subsample': 0.8999999999999999, 'reg_lambda'... | 0.789491 | 0.015265 | 6 |
| 8 | {'subsample': 0.6, 'reg_lambda': 5.0, 'reg_alp... | 0.789314 | 0.006103 | 7 |
| 9 | {'subsample': 0.7999999999999999, 'reg_lambda'... | 0.796594 | 0.008824 | 3 |
# Print the best parameters
print('Best Parameters:', gs.best_params_, 'mean score: ', gs.best_score_, sep='\n')
Best Parameters:
{'subsample': 0.8999999999999999, 'reg_lambda': 50.0, 'reg_alpha': 0.01, 'n_estimators': 500, 'min_child_weight': 3.0, 'max_depth': 15, 'learning_rate': 0.01, 'gamma': 0.4, 'colsample_bytree': 0.4, 'colsample_bylevel': 0.5}
mean score:
0.8051118910766097
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, subsample=0.899999999999999, reg_lambda=50.0, reg_alpha=0.01, n_estimators=500,
min_child_weight=3.0, max_depth=15, learning_rate=0.01, gamma=0.4,
colsample_bytree=0.4, colsample_bylevel=0.5, verbosity=0)
# Train the model
model.fit(X_train, y_train)
model_pred = model.predict(X_test)
# Plot features importance chart
plot_importance(model)
plt.show()
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.8166489172878949
Accuracy on Test data: 0.7920511000709723
Classification Report:
precision recall f1-score support
0 0.82 0.91 0.87 1041
1 0.65 0.45 0.53 368
accuracy 0.79 1409
macro avg 0.74 0.68 0.70 1409
weighted avg 0.78 0.79 0.78 1409
Confusion Matrix Chart:
Refer the Case-2 for best performing model above. Model tuning will continue in Part-B
DOMAIN: IT
CONTEXT: The purpose is to build a machine learning workflow that will work autonomously irrespective of Data and users can save efforts involved in building workflows for each dataset.
PROJECT OBJECTIVE: Build a machine learning workflow that will run autonomously with the csv file and return best performing model.
STEPS AND TASK:
# Import all the relevant libraries needed to complete the analysis, visualization, modeling and presentation
import pandas as pd
import numpy as np
import os
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
sns.set_style('darkgrid')
%matplotlib inline
from scipy import stats
from scipy.stats import zscore
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import RobustScaler
from sklearn import model_selection
from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV, RandomizedSearchCV, StratifiedKFold
from sklearn.metrics import accuracy_score, confusion_matrix, classification_report, roc_curve, auc, roc_auc_score, ConfusionMatrixDisplay, precision_score, recall_score, f1_score, plot_roc_curve, precision_recall_curve, plot_precision_recall_curve, average_precision_score
from sklearn.neighbors import KNeighborsClassifier
from sklearn.linear_model import LogisticRegression, RidgeClassifier
from sklearn.naive_bayes import GaussianNB, BernoulliNB
from sklearn.svm import SVC
import xgboost as xgb
from xgboost import plot_importance
from catboost import CatBoostClassifier
from lightgbm import LGBMClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import VotingClassifier
from imblearn.over_sampling import RandomOverSampler
from imblearn.over_sampling import SMOTENC
from imblearn.over_sampling import SMOTE
import warnings
warnings.filterwarnings("ignore")
# Using the complete dataset from Part-A
# CSV File 1
dfa1=pd.read_csv('TelcomCustomer-Churn_1.csv')
# CSV File 2
dfa2=pd.read_csv('TelcomCustomer-Churn_2.csv')
# customerID is common in both the dataframes
dfa=dfa1.merge(dfa2, left_on='customerID', right_on='customerID')
# CustomerID is the id of the customer with corresponding details. This information may not be requried
# for analysis and modeling as the customerID will be all unique values. So we can drop it safely.
dfa.drop(['customerID'], axis=1, inplace=True)
dfa.info()
dfa.head()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 20 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 gender 7043 non-null object 1 SeniorCitizen 7043 non-null int64 2 Partner 7043 non-null object 3 Dependents 7043 non-null object 4 tenure 7043 non-null int64 5 PhoneService 7043 non-null object 6 MultipleLines 7043 non-null object 7 InternetService 7043 non-null object 8 OnlineSecurity 7043 non-null object 9 OnlineBackup 7043 non-null object 10 DeviceProtection 7043 non-null object 11 TechSupport 7043 non-null object 12 StreamingTV 7043 non-null object 13 StreamingMovies 7043 non-null object 14 Contract 7043 non-null object 15 PaperlessBilling 7043 non-null object 16 PaymentMethod 7043 non-null object 17 MonthlyCharges 7043 non-null float64 18 TotalCharges 7043 non-null object 19 Churn 7043 non-null object dtypes: float64(1), int64(2), object(17) memory usage: 1.1+ MB
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | DeviceProtection | TechSupport | StreamingTV | StreamingMovies | Contract | PaperlessBilling | PaymentMethod | MonthlyCharges | TotalCharges | Churn | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Female | 0 | Yes | No | 1 | No | No phone service | DSL | No | Yes | No | No | No | No | Month-to-month | Yes | Electronic check | 29.85 | 29.85 | No |
| 1 | Male | 0 | No | No | 34 | Yes | No | DSL | Yes | No | Yes | No | No | No | One year | No | Mailed check | 56.95 | 1889.5 | No |
| 2 | Male | 0 | No | No | 2 | Yes | No | DSL | Yes | Yes | No | No | No | No | Month-to-month | Yes | Mailed check | 53.85 | 108.15 | Yes |
| 3 | Male | 0 | No | No | 45 | No | No phone service | DSL | Yes | No | Yes | Yes | No | No | One year | No | Bank transfer (automatic) | 42.30 | 1840.75 | No |
| 4 | Female | 0 | No | No | 2 | Yes | No | Fiber optic | No | No | No | No | No | No | Month-to-month | Yes | Electronic check | 70.70 | 151.65 | Yes |
dfa.columns
Index(['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'tenure',
'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod',
'MonthlyCharges', 'TotalCharges', 'Churn'],
dtype='object')
We need to remove data where the value of any feature is nan or na or empty. Imputation is also a great strategy.
def remove_missing(df) :
remove = []
for i, row in df.iterrows():
if row.isna().values.any() : remove.append(i)
df.drop(remove,axis=0,inplace=True)
We need to remove data with mismatches: For e.g. a data point with a string value for a numerical feature. For this, we will check what data type is the majority for each feature and remove the data with a different data type for those features.
Provision for exceptions: where we can specify features for which values can have different data types and we do not want to remove mismatches.
def remove_mismatch(df,exceptions=[]) :
for col in df :
if col in exceptions : continue
df.reset_index(drop=True, inplace=True)
s = [False]*len(df[col])
for i,cell in enumerate(df[col]) :
try : n = int(cell)
except : s[i] = True
t = s.count(True)
f = s.count(False)
st = False
if(t>f) : st = True
remove = [i for i in range(len(df[col])) if s[i]!=st]
df.drop(remove,axis=0,inplace=True)
Sometimes Numeric Data (e.g. int, float) is stored as a String, this may lead to an error when we train our model or normalize our data. We need to identify such cases and convert them to their original numerical forms.
def str_to_num(df) :
for col in df :
try : df[col] = pd.to_numeric(df[col])
except : pass
def clean(df,exceptions_mismatch=[]) :
remove_missing(df)
remove_mismatch(df,exceptions=exceptions_mismatch)
str_to_num(df)
# Example
clean(dfa,exceptions_mismatch=['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'tenure',
'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod',
'MonthlyCharges', 'TotalCharges', 'Churn'])
dfa.info()
dfa.head()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 20 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 gender 7043 non-null object 1 SeniorCitizen 7043 non-null int64 2 Partner 7043 non-null object 3 Dependents 7043 non-null object 4 tenure 7043 non-null int64 5 PhoneService 7043 non-null object 6 MultipleLines 7043 non-null object 7 InternetService 7043 non-null object 8 OnlineSecurity 7043 non-null object 9 OnlineBackup 7043 non-null object 10 DeviceProtection 7043 non-null object 11 TechSupport 7043 non-null object 12 StreamingTV 7043 non-null object 13 StreamingMovies 7043 non-null object 14 Contract 7043 non-null object 15 PaperlessBilling 7043 non-null object 16 PaymentMethod 7043 non-null object 17 MonthlyCharges 7043 non-null float64 18 TotalCharges 7043 non-null object 19 Churn 7043 non-null object dtypes: float64(1), int64(2), object(17) memory usage: 1.1+ MB
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | DeviceProtection | TechSupport | StreamingTV | StreamingMovies | Contract | PaperlessBilling | PaymentMethod | MonthlyCharges | TotalCharges | Churn | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Female | 0 | Yes | No | 1 | No | No phone service | DSL | No | Yes | No | No | No | No | Month-to-month | Yes | Electronic check | 29.85 | 29.85 | No |
| 1 | Male | 0 | No | No | 34 | Yes | No | DSL | Yes | No | Yes | No | No | No | One year | No | Mailed check | 56.95 | 1889.5 | No |
| 2 | Male | 0 | No | No | 2 | Yes | No | DSL | Yes | Yes | No | No | No | No | Month-to-month | Yes | Mailed check | 53.85 | 108.15 | Yes |
| 3 | Male | 0 | No | No | 45 | No | No phone service | DSL | Yes | No | Yes | Yes | No | No | One year | No | Bank transfer (automatic) | 42.30 | 1840.75 | No |
| 4 | Female | 0 | No | No | 2 | Yes | No | Fiber optic | No | No | No | No | No | No | Month-to-month | Yes | Electronic check | 70.70 | 151.65 | Yes |
We are going to represent the type of encoding we want for each column using a dictionary, where the keys will be the column/feature names and their values will be the type of encoding we want.
# ‘None’ will mean One Hot Encoding
# ‘[]’ would mean Label Encoding without a given order
# ‘[a,b,c…]’ would mean Label Encoding with the list being the order
labels = {}
labels['gender'] = []
labels['SeniorCitizen'] = []
labels['Partner'] = []
labels['Dependents'] = []
# labels['tenure'] = []
labels['PhoneService'] = []
labels['MultipleLines'] = []
labels['InternetService'] = []
labels['OnlineSecurity'] = []
labels['OnlineBackup'] = []
labels['DeviceProtection'] = []
labels['TechSupport'] = []
labels['StreamingTV'] = []
labels['StreamingMovies'] = []
labels['PaperlessBilling'] = []
# labels['MonthlyCharges'] = []
# labels['TotalCharges'] = []
labels['Churn'] = []
labels['Contract'] = None
labels['PaymentMethod'] = None
# This way experimenting with different encoding will become very easy.
# For eg., if we want to change the encoding of the ‘Type’ column from One Hot to Label,
# we can do it by simply changing its value in the labels dictionary from None to [].
The function takes the column name and order as input.
# Lets say, df['col'] = ['b','a','b','c']
# order = []
# Label Encoding with no given order
# df['col'] = [0,1,0,2]
# order = ['a','b','c']
# Label Encoding with given order
# df['col'] = [1,0,1,2]
# order = ['a']
# By giving only a few values in order we can keep remaining values as 'others'
# df['col'] = [-1,0,-1,-1]
def encode_label(df,col,order=[]) :
if(order==[]) : order = list(df[col].unique())
for i,cell in enumerate(df[col]) :
try :
df.at[i,col] = order.index(df[col][i])
except :
df.at[i,col] = -1
# The function takes the column name as input.
# Lets say, df['col'] = ['b','a','b','c']
# After One Hot Encoding -
# df['col_b'] = [1,0,1,0]
# df['col_a'] = [0,1,0,0]
# df['col_c'] = [0,0,0,1]
def encode_onehot(df,col) :
k = {}
n = df[col].shape[0]
unique = df[col].unique()
for unq in unique : k[unq] = [0]*n
for i in range(n) :
k[df.at[i,col]][i] = 1
for unq in unique : df[f"{col}_{unq}"] = k[unq]
df.drop(col,axis=1,inplace=True)
def encode(df,cols) :
for col in cols.keys() :
if(cols[col] is None) : encode_onehot(df,col)
else : encode_label(df,col,cols[col])
# Example
encode(dfa,labels)
dfa.info()
dfa.head()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 25 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 gender 7043 non-null object 1 SeniorCitizen 7043 non-null int64 2 Partner 7043 non-null object 3 Dependents 7043 non-null object 4 tenure 7043 non-null int64 5 PhoneService 7043 non-null object 6 MultipleLines 7043 non-null object 7 InternetService 7043 non-null object 8 OnlineSecurity 7043 non-null object 9 OnlineBackup 7043 non-null object 10 DeviceProtection 7043 non-null object 11 TechSupport 7043 non-null object 12 StreamingTV 7043 non-null object 13 StreamingMovies 7043 non-null object 14 PaperlessBilling 7043 non-null object 15 MonthlyCharges 7043 non-null float64 16 TotalCharges 7043 non-null object 17 Churn 7043 non-null object 18 Contract_Month-to-month 7043 non-null int64 19 Contract_One year 7043 non-null int64 20 Contract_Two year 7043 non-null int64 21 PaymentMethod_Electronic check 7043 non-null int64 22 PaymentMethod_Mailed check 7043 non-null int64 23 PaymentMethod_Bank transfer (automatic) 7043 non-null int64 24 PaymentMethod_Credit card (automatic) 7043 non-null int64 dtypes: float64(1), int64(9), object(15) memory usage: 1.6+ MB
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | MonthlyCharges | TotalCharges | Churn | Contract_Month-to-month | Contract_One year | Contract_Two year | PaymentMethod_Electronic check | PaymentMethod_Mailed check | PaymentMethod_Bank transfer (automatic) | PaymentMethod_Credit card (automatic) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | ... | 29.85 | 29.85 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 1 | 1 | 0 | 1 | 0 | 34 | 1 | 1 | 0 | 1 | 1 | ... | 56.95 | 1889.5 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 2 | 1 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | ... | 53.85 | 108.15 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| 3 | 1 | 0 | 1 | 0 | 45 | 0 | 0 | 0 | 1 | 1 | ... | 42.30 | 1840.75 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 4 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | ... | 70.70 | 151.65 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
5 rows × 25 columns
# Convert the categorical Data type to Numerical for modeling
col=['gender', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines', 'InternetService',
'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',
'StreamingTV', 'StreamingMovies', 'PaperlessBilling', 'TotalCharges', 'Churn']
def convert_to_cont(feature):
dfa[feature]=pd.to_numeric(dfa[feature], errors='coerce')
for c in col:
convert_to_cont(c)
dfa.fillna(dfa.mean(),inplace = True)
dfa.info()
dfa.head()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 25 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 gender 7043 non-null int64 1 SeniorCitizen 7043 non-null int64 2 Partner 7043 non-null int64 3 Dependents 7043 non-null int64 4 tenure 7043 non-null int64 5 PhoneService 7043 non-null int64 6 MultipleLines 7043 non-null int64 7 InternetService 7043 non-null int64 8 OnlineSecurity 7043 non-null int64 9 OnlineBackup 7043 non-null int64 10 DeviceProtection 7043 non-null int64 11 TechSupport 7043 non-null int64 12 StreamingTV 7043 non-null int64 13 StreamingMovies 7043 non-null int64 14 PaperlessBilling 7043 non-null int64 15 MonthlyCharges 7043 non-null float64 16 TotalCharges 7043 non-null float64 17 Churn 7043 non-null int64 18 Contract_Month-to-month 7043 non-null int64 19 Contract_One year 7043 non-null int64 20 Contract_Two year 7043 non-null int64 21 PaymentMethod_Electronic check 7043 non-null int64 22 PaymentMethod_Mailed check 7043 non-null int64 23 PaymentMethod_Bank transfer (automatic) 7043 non-null int64 24 PaymentMethod_Credit card (automatic) 7043 non-null int64 dtypes: float64(2), int64(23) memory usage: 1.6 MB
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | MonthlyCharges | TotalCharges | Churn | Contract_Month-to-month | Contract_One year | Contract_Two year | PaymentMethod_Electronic check | PaymentMethod_Mailed check | PaymentMethod_Bank transfer (automatic) | PaymentMethod_Credit card (automatic) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | ... | 29.85 | 29.85 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 1 | 1 | 0 | 1 | 0 | 34 | 1 | 1 | 0 | 1 | 1 | ... | 56.95 | 1889.50 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 2 | 1 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | ... | 53.85 | 108.15 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| 3 | 1 | 0 | 1 | 0 | 45 | 0 | 0 | 0 | 1 | 1 | ... | 42.30 | 1840.75 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 4 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | ... | 70.70 | 151.65 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
5 rows × 25 columns
dfa.columns
Index(['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'tenure',
'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'PaperlessBilling', 'MonthlyCharges', 'TotalCharges',
'Churn', 'Contract_Month-to-month', 'Contract_One year',
'Contract_Two year', 'PaymentMethod_Electronic check',
'PaymentMethod_Mailed check', 'PaymentMethod_Bank transfer (automatic)',
'PaymentMethod_Credit card (automatic)'],
dtype='object')
# Correlation of "Churn" with other features
plt.figure(figsize=(15,8))
dfa.corr()['Churn'].sort_values(ascending = False).plot(kind='bar')
<AxesSubplot:>
# Checking Correlation Heatmap
plt.figure(dpi = 540,figsize= (30,25))
mask = np.triu(np.ones_like(dfa.corr()))
sns.heatmap(dfa.corr(),mask = mask, fmt = ".2f",annot=True,lw=1,cmap = 'plasma')
plt.yticks(rotation = 0)
plt.xticks(rotation = 90)
plt.title('Correlation Heatmap')
plt.show()
# Dividing by largest
def normalize_dbl(df,cols,round=None) :
if(type(cols)!=list) : cols = [cols]
for col in cols :
l = df[col].max()
if round is None : df[col] = df[col].div(l)
else : df[col] = df[col].div(l).round(round)
# Dividing by constant
def normalize_dbc(df,cols,round=None,c=1) :
if(type(cols)!=list) : cols = [cols]
for col in cols :
if round is None : df[col] = df[col].div(c)
else : df[col] = df[col].div(c).round(round)
# Dividing by constant x largest
def normalize_dblc(df,cols,round=None,c=1) :
if(type(cols)!=list) : cols = [cols]
for col in cols :
l = df[col].max() * c
if round is None : df[col] = df[col].div(l)
else : df[col] = df[col].div(l).round(round)
# min-max normalization
def normalize_rescale(df,cols,round=None) :
if(type(cols)!=list) : cols = [cols]
for col in cols :
df[col] = df[col] - df[col].min()
l = df[col].max()
if round is None : df[col] = df[col].div(l)
else : df[col] = df[col].div(l).round(round)
# mean normalization
def normalize_mean(df,cols,round=None) :
if(type(cols)!=list) : cols = [cols]
for col in cols :
mean = df[col].mean()
l = df[col].max() - df[col].min()
df[col] = df[col] - mean
if round is None : df[col] = df[col].div(l)
else : df[col] = df[col].div(l).round(round)
def normalize(df,cols=None,kinds='dbl',round=None,c=1,exceptions=[]) :
if(cols is None) :
cols = []
for col in df :
if(pd.api.types.is_numeric_dtype(df[col])) :
if(max(df[col])>1 or min(df[col])<-1) :
if(col not in exceptions) : cols.append(col)
if(type(cols)!=list) : cols = [cols]
n = len(cols)
if(type(kinds)!=list) : kinds = [kinds]*n
for i,kind in enumerate(kinds) :
if(kind=='dbl') : normalize_dbl(df,cols[i],round)
if(kind=='dbc') : normalize_dbc(df,cols[i],round,c)
if(kind=='dblc') : normalize_dblc(df,cols[i],round,c)
if(kind in ['min-max','rescale','scale']) : normalize_rescale(df,cols[i],round)
if(kind=='mean') : normalize_mean(df,cols[i],round)
# Example
# We can vastly vary the overall normalizations by easily making changes in the
# parameters of this function when we call it. This helps in experimenting with
# different normalizations.
# Some examples of various ways in which we can normalize our data using this function
# If we want to normalize all columns (it detects numeric columns)
# normalize(df)
# If we want to normalize and round to 3 decimal places –
# normalize(df,round=3)
# If we want to normalize all columns by a kind other than dividing by largest –
# normalize(df,kinds='mean')
# If we want to normalize some columns with a kind and some columns with other kind –
# normalize(df,['Price','Horsepower'],'dbl')
# normalize(df,['AirBags','Cylinders'],'min-max')
# normalize(df,['RPM'],'dblc',c=1.25)
# OR
# normalize(df,['Price','AirBags','Cylinders','Horsepower','RPM'],['dbl','min-max','min-max','dbl','dblc'],c=1.25)
# If we want to normalize all columns except a few
# normalize(df,kinds='min-max',exceptions=['AirBags','RPM'],round=4)
normalize(dfa, kinds='mean', exceptions=['gender', 'SeniorCitizen', 'Partner', 'Dependents',
'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'PaperlessBilling','Churn', 'Contract_Month-to-month',
'Contract_One year','Contract_Two year', 'PaymentMethod_Electronic check',
'PaymentMethod_Mailed check', 'PaymentMethod_Bank transfer (automatic)',
'PaymentMethod_Credit card (automatic)'])
dfa.info()
dfa.head()
<class 'pandas.core.frame.DataFrame'> Int64Index: 7043 entries, 0 to 7042 Data columns (total 25 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 gender 7043 non-null int64 1 SeniorCitizen 7043 non-null int64 2 Partner 7043 non-null int64 3 Dependents 7043 non-null int64 4 tenure 7043 non-null float64 5 PhoneService 7043 non-null int64 6 MultipleLines 7043 non-null int64 7 InternetService 7043 non-null int64 8 OnlineSecurity 7043 non-null int64 9 OnlineBackup 7043 non-null int64 10 DeviceProtection 7043 non-null int64 11 TechSupport 7043 non-null int64 12 StreamingTV 7043 non-null int64 13 StreamingMovies 7043 non-null int64 14 PaperlessBilling 7043 non-null int64 15 MonthlyCharges 7043 non-null float64 16 TotalCharges 7043 non-null float64 17 Churn 7043 non-null int64 18 Contract_Month-to-month 7043 non-null int64 19 Contract_One year 7043 non-null int64 20 Contract_Two year 7043 non-null int64 21 PaymentMethod_Electronic check 7043 non-null int64 22 PaymentMethod_Mailed check 7043 non-null int64 23 PaymentMethod_Bank transfer (automatic) 7043 non-null int64 24 PaymentMethod_Credit card (automatic) 7043 non-null int64 dtypes: float64(3), int64(22) memory usage: 1.6 MB
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | MonthlyCharges | TotalCharges | Churn | Contract_Month-to-month | Contract_One year | Contract_Two year | PaymentMethod_Electronic check | PaymentMethod_Mailed check | PaymentMethod_Bank transfer (automatic) | PaymentMethod_Credit card (automatic) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | -0.435710 | 0 | 0 | 0 | 0 | 0 | ... | -0.347380 | -0.260034 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 1 | 1 | 0 | 1 | 0 | 0.022623 | 1 | 1 | 0 | 1 | 1 | ... | -0.077728 | -0.045442 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 2 | 1 | 0 | 1 | 0 | -0.421822 | 1 | 1 | 0 | 1 | 0 | ... | -0.108574 | -0.250998 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| 3 | 1 | 0 | 1 | 0 | 0.175401 | 0 | 0 | 0 | 1 | 1 | ... | -0.223499 | -0.051067 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 4 | 0 | 0 | 1 | 0 | -0.421822 | 1 | 1 | 1 | 0 | 1 | ... | 0.059088 | -0.245979 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
5 rows × 25 columns
We will use sklearn and make a function to split data where we won’t even need to mention if we are splitting our data into 2 or 3 portions.
We also need to reset the index of x_train, x_test, etc., otherwise, we can face problems while iterating over them in the future.
from sklearn.model_selection import train_test_split
X = dfa.drop(['Churn'], axis=1)
y = dfa.loc[:,'Churn']
def train_test(X,y,train_size=-1,test_size=-1) :
if(train_size==-1) : train_size = 1-test_size
X_train,X_test,y_train,y_test = train_test_split(X,y,train_size=train_size,random_state=0)
X_train.reset_index(drop=True,inplace=True)
X_test.reset_index(drop=True,inplace=True)
y_train.reset_index(drop=True,inplace=True)
y_test.reset_index(drop=True,inplace=True)
return X_train,X_test,y_train,y_test
def train_val_test(X,y,train_size=-1,val_size=-1,test_size=-1) :
if(train_size==-1) : train_size = 1-val_size-test_size
if(val_size==-1) : val_size = 1-train_size-test_size
X_train,X_val,y_train,y_val = train_test_split(X,y,train_size=train_size,random_state=0)
X_val,X_test,y_val,y_test = train_test_split(X_val,y_val,train_size=(val_size/(1-train_size)),random_state=0)
X_train.reset_index(drop=True,inplace=True)
X_val.reset_index(drop=True,inplace=True)
X_test.reset_index(drop=True,inplace=True)
y_train.reset_index(drop=True,inplace=True)
y_val.reset_index(drop=True,inplace=True)
y_test.reset_index(drop=True,inplace=True)
return X_train,X_val,X_test,y_train,y_val,y_test
If we pass two sizes in the function (eg. train_size & val_size) then it will be a three-way split, if we pass one size (eg. train_size) it will be a two-way split.
# Single Function
def split(X,y,train_size=-1,val_size=-1,test_size=-1) :
if(train_size==-1 and val_size==-1) : return train_test(X,y,train_size=1-test_size)
if(train_size==-1 and test_size==-1) : return train_test(X,y,train_size=1-val_size)
if(val_size==-1 and test_size==-1) : return train_test(X,y,train_size=train_size)
return train_val_test(X,y,train_size,val_size,test_size)
# Example for Split-1
# Train Validation Test Split:
X_train,X_val,X_test,y_train,y_val,y_test = split(X,y,train_size=0.7,val_size=0.15)
print(X_train.shape,X_val.shape,X_test.shape)
print(y_train.shape,y_val.shape,y_test.shape)
(4930, 24) (1056, 24) (1057, 24) (4930,) (1056,) (1057,)
# Example for Split-2
# Train-Test Split:
X_train,X_test,y_train,y_test = split(X,y,train_size=0.80)
print(X_train.shape,X_test.shape)
print(y_train.shape,y_test.shape)
(5634, 24) (1409, 24) (5634,) (1409,)
We implemented preprocessing functions for Cleaning, Encoding, Normalizing, and Splitting the Data. We saw how organized preprocessing makes our job easier.
After Importing the data, we can pre-process it as per our needs in 4 lines. We can keep modifying the parameters to experiment with different preprocessing approaches.
clean(df,exceptions_mismatch=[])
encode(df,labels)
normalize(df,cols=None,kinds='dbl',round=None,c=1,exceptions=[])
split(X,y,train_size=-1,val_size=-1,test_size=-1)
Refer the above cells for customization of various parameters of these functions.
# Using the dataset from Part-A
# CSV File 1
dfa1=pd.read_csv('TelcomCustomer-Churn_1.csv')
# CSV File 2
dfa2=pd.read_csv('TelcomCustomer-Churn_2.csv')
# customerID is common in both the dataframes
dfa=dfa1.merge(dfa2, left_on='customerID', right_on='customerID')
# We can safely drop the customerID
dfa.drop(['customerID'], axis=1, inplace=True)
# Stacking all the functions for Cleaning, Encoding, Normalizing, and Splitting the Dataframe
# Single Function for Cleaning Data
clean(dfa,exceptions_mismatch=['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'tenure',
'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod',
'MonthlyCharges', 'TotalCharges', 'Churn'])
# Single Function For Encoding Data
labels = {}
labels['gender'] = []
labels['SeniorCitizen'] = []
labels['Partner'] = []
labels['Dependents'] = []
# labels['tenure'] = []
labels['PhoneService'] = []
labels['MultipleLines'] = []
labels['InternetService'] = []
labels['OnlineSecurity'] = []
labels['OnlineBackup'] = []
labels['DeviceProtection'] = []
labels['TechSupport'] = []
labels['StreamingTV'] = []
labels['StreamingMovies'] = []
labels['PaperlessBilling'] = []
# labels['MonthlyCharges'] = []
# labels['TotalCharges'] = []
labels['Churn'] = []
labels['Contract'] = None
labels['PaymentMethod'] = None
encode(dfa,labels)
# Convert the categorical Data type to Numerical for modeling
col=['gender', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines', 'InternetService',
'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',
'StreamingTV', 'StreamingMovies', 'PaperlessBilling', 'TotalCharges', 'Churn']
def convert_to_cont(feature):
dfa[feature]=pd.to_numeric(dfa[feature], errors='coerce')
for c in col:
convert_to_cont(c)
dfa.fillna(dfa.mean(),inplace = True)
# Single Function for Normalizing Data
normalize(dfa, kinds='mean', exceptions=['gender', 'SeniorCitizen', 'Partner', 'Dependents',
'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'PaperlessBilling','Churn', 'Contract_Month-to-month',
'Contract_One year','Contract_Two year', 'PaymentMethod_Electronic check',
'PaymentMethod_Mailed check', 'PaymentMethod_Bank transfer (automatic)',
'PaymentMethod_Credit card (automatic)'])
# Create the Features Matrix and Target Vector
X = dfa.drop(['Churn'], axis=1)
y = dfa.loc[:,'Churn']
# Single Function for Splitting Data
X_train,X_test,y_train,y_test = split(X,y,train_size=0.80)
print(X_train.shape,X_test.shape)
print(y_train.shape,y_test.shape)
(5634, 24) (1409, 24) (5634,) (1409,)
X_train.head()
| gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines | InternetService | OnlineSecurity | OnlineBackup | ... | PaperlessBilling | MonthlyCharges | TotalCharges | Contract_Month-to-month | Contract_One year | Contract_Two year | PaymentMethod_Electronic check | PaymentMethod_Mailed check | PaymentMethod_Bank transfer (automatic) | PaymentMethod_Credit card (automatic) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0.550401 | 1 | 1 | 0 | 1 | 0 | ... | 1 | 0.202371 | 0.446815 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| 1 | 0 | 1 | 1 | 0 | -0.255155 | 0 | 0 | 0 | 0 | 1 | ... | 0 | -0.183201 | -0.185853 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 2 | 0 | 0 | 0 | 1 | 0.536512 | 1 | 2 | 2 | 2 | 2 | ... | 1 | -0.398624 | -0.054552 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 3 | 1 | 0 | 0 | 1 | 0.008734 | 1 | 1 | 0 | 0 | 1 | ... | 0 | 0.090928 | 0.014049 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 0.203178 | 1 | 2 | 1 | 1 | 0 | ... | 0 | 0.338192 | 0.259681 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
5 rows × 24 columns
y_train.head()
0 0 1 0 2 0 3 1 4 1 Name: Churn, dtype: int64
Organized Preprocessing saves time and helps us preprocess different datasets and try different preprocessing without much code change:
Other than preprocessing too, it’s good to keep our code organized, it helps in making changes later. We should also try to make universal functions taking the dataset as an argument rather than making hardcoded functions that will work only for the dataset we are using at that time.
Refer section "Conclusion" above to create Preprocessed X_train, X_test, y_train, y_test from a CSV File.
# Build the model
model = xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity=0)
# Train the model
model.fit(X_train, y_train)
model_pred = model.predict(X_test)
# Classification Accuracy
print('')
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
print('')
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
print('Default Parameters used in the base model:')
print(model)
Accuracy on Training data: 0.9449769258075967
Accuracy on Test data: 0.7757274662881476
Classification Report:
precision recall f1-score support
0 0.83 0.87 0.85 1041
1 0.58 0.51 0.54 368
accuracy 0.78 1409
macro avg 0.71 0.69 0.70 1409
weighted avg 0.77 0.78 0.77 1409
Confusion Matrix Chart:
Default Parameters used in the base model:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
gamma=0, gpu_id=-1, importance_type=None,
interaction_constraints='', learning_rate=0.300000012,
max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
monotone_constraints='()', n_estimators=100, n_jobs=2,
num_parallel_tree=1, predictor='auto', random_state=0,
reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,
tree_method='exact', validate_parameters=1, verbosity=0)
# ML Workflow to select a best performing model
from numpy import mean
from numpy import std
from sklearn.datasets import make_classification
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import RepeatedStratifiedKFold
from sklearn.ensemble import AdaBoostClassifier
from matplotlib import pyplot
# Get the dataset
def get_dataset():
Xm, ym = make_classification(n_samples=1000, n_features=20, n_informative=15, n_redundant=5, random_state=0)
return Xm, ym
# Get a list of models to evaluate
def get_models():
models = dict()
# define number of trees to consider
n_trees = [10, 50, 100, 500, 1000, 5000]
for n in n_trees:
models[str(n)] = AdaBoostClassifier(random_state=0, n_estimators=n)
return models
# Evaluate a given model using cross-validation
def evaluate_model(model, Xm, ym):
# define the evaluation procedure
cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=0)
# evaluate the model and collect the results
scores = cross_val_score(model, Xm, ym, scoring='accuracy', cv=cv, n_jobs=2)
return scores
# Define dataset
Xm, ym = get_dataset()
# Get the models to evaluate
models = get_models()
# Evaluate the models and store results
results, names = list(), list()
for name, model in models.items():
# Evaluate the model
scores = evaluate_model(model, Xm, ym)
# Store the results
results.append(scores)
names.append(name)
# Summarize the performance along the way
print('>%s %.3f (%.3f)' % (name, mean(scores), std(scores)))
# Plot model performance for comparison
pyplot.boxplot(results, labels=names, showmeans=True)
pyplot.show()
>10 0.689 (0.048) >50 0.746 (0.047) >100 0.748 (0.042) >500 0.734 (0.043) >1000 0.723 (0.051) >5000 0.707 (0.049)
# Use K-Fold Cross Validation for model selection
# Define various classification models
BaggingClassifier=BaggingClassifier(n_jobs=2, random_state=0)
RandomForest=RandomForestClassifier(n_jobs=2, random_state=0)
AdaBoostClassifier=AdaBoostClassifier(random_state=0)
GBClassifier=GradientBoostingClassifier(random_state=0)
XGBClassifier=xgb.XGBClassifier(n_jobs=2, random_state=0, verbosity = 0)
LGBMClassifier=LGBMClassifier(n_jobs=2, random_state=0)
CatBoostClassifier=CatBoostClassifier(thread_count=2, random_seed=0)
Hybrid = []
Hybrid.append(['RidgeClassifier',RidgeClassifier(random_state=0)])
Hybrid.append(['Logistic Regression',LogisticRegression(n_jobs=2, random_state=0)])
Hybrid.append(['SVM',SVC(random_state=0)])
Hybrid.append(['KNeigbors',KNeighborsClassifier(n_jobs=2)])
Hybrid.append(['GaussianNB',GaussianNB()])
Hybrid.append(['BernoulliNB',BernoulliNB()])
Hybrid.append(['DecisionTree',DecisionTreeClassifier(random_state=0)])
Hybrid_ensemble=VotingClassifier(Hybrid, n_jobs=2)
# K Fold Cross Validation Scores
seed = 0
# Create models
models = []
models.append(('XGBClassifier', XGBClassifier))
models.append(('RandomForest', RandomForest))
models.append(('AdaBoostClassifier', AdaBoostClassifier))
models.append(('GBClassifier', GBClassifier))
models.append(('LGBMClassifier', LGBMClassifier))
models.append(('CatBoostClassifier', CatBoostClassifier))
models.append(('BaggingClassifier', BaggingClassifier))
models.append(('Hybrid_ensemble', Hybrid_ensemble))
# Evaluate each model in turn
results = []
names = []
# Use different metrics based on context
scoring = 'accuracy'
# scoring = 'precision'
# scoring = 'recall'
# scoring = 'f1'
for name, model in models:
kfold = model_selection.KFold(n_splits=10,random_state=seed,shuffle=True)
cv_results = model_selection.cross_val_score(model, X, y, cv=kfold, scoring=scoring, n_jobs=2)
results.append(cv_results)
names.append(name)
msg = "%s: %f (%f)" % (name, cv_results.mean(), cv_results.std())
print(msg)
# Boxplot for algorithm comparison
fig = plt.figure(figsize=(12,5))
fig.suptitle('Algorithm Comparison')
ax = fig.add_subplot(111)
plt.boxplot(results)
ax.set_xticklabels(names)
plt.show()
XGBClassifier: 0.790714 (0.006376) RandomForest: 0.792561 (0.012951) AdaBoostClassifier: 0.802217 (0.009586) GBClassifier: 0.801934 (0.011641) LGBMClassifier: 0.799233 (0.010807) CatBoostClassifier: 0.801225 (0.014142) BaggingClassifier: 0.778360 (0.014293) Hybrid_ensemble: 0.793697 (0.010147)
# Use SMOTE to handle the imbalanced dataset
# Create the oversampler.
smote=SMOTE(random_state=0)
X1, y1=smote.fit_resample(X_train, y_train)
base_1 = []
for m in range(len(models)):
base_2 = []
model = models[m][1]
model.fit(X1,y1)
y_pred = model.predict(X_test)
y1_pred = model.predict(X1)
cm = confusion_matrix(y_test,y_pred)
accuracies = cross_val_score(estimator= model, X = X1, y = y1, cv=10)
# k-fOLD Validation
roc = roc_auc_score(y_test,y_pred)
precision = precision_score(y_test,y_pred)
recall = recall_score(y_test,y_pred)
f1 = f1_score(y_test,y_pred)
print(models[m][0],':')
print(cm)
print('Train Accuracy Score: ',accuracy_score(y1,y1_pred))
print('Test Accuracy Score: ',accuracy_score(y_test,y_pred))
print('K-Fold Validation Mean Accuracy: {:.2f} %;'.format(accuracies.mean()*100),
'Standard Deviation: {:.2f} %'.format(accuracies.std()*100))
print('ROC AUC Score: {:.2f} %'.format(roc))
print('Precision: {:.2f} %'.format(precision))
print('Recall: {:.2f} %'.format(recall))
print('F1 Score: {:.2f} %'.format(f1))
print('Classification Report:')
print(classification_report(y_test, y_pred))
print('-'*60)
base_2.append(models[m][0])
base_2.append(accuracy_score(y1,y1_pred)*100)
base_2.append(accuracy_score(y_test,y_pred)*100)
base_2.append(accuracies.mean()*100)
base_2.append(accuracies.std()*100)
base_2.append(roc)
base_2.append(precision)
base_2.append(recall)
base_2.append(f1)
base_1.append(base_2)
XGBClassifier :
[[861 180]
[139 229]]
Train Accuracy Score: 0.9536656181950157
Test Accuracy Score: 0.7735982966643009
K-Fold Validation Mean Accuracy: 83.54 %; Standard Deviation: 5.09 %
ROC AUC Score: 0.72 %
Precision: 0.56 %
Recall: 0.62 %
F1 Score: 0.59 %
Classification Report:
precision recall f1-score support
0 0.86 0.83 0.84 1041
1 0.56 0.62 0.59 368
accuracy 0.77 1409
macro avg 0.71 0.72 0.72 1409
weighted avg 0.78 0.77 0.78 1409
------------------------------------------------------------
RandomForest :
[[844 197]
[136 232]]
Train Accuracy Score: 0.9983063150254052
Test Accuracy Score: 0.7636621717530163
K-Fold Validation Mean Accuracy: 85.11 %; Standard Deviation: 3.09 %
ROC AUC Score: 0.72 %
Precision: 0.54 %
Recall: 0.63 %
F1 Score: 0.58 %
Classification Report:
precision recall f1-score support
0 0.86 0.81 0.84 1041
1 0.54 0.63 0.58 368
accuracy 0.76 1409
macro avg 0.70 0.72 0.71 1409
weighted avg 0.78 0.76 0.77 1409
------------------------------------------------------------
AdaBoostClassifier :
[[786 255]
[ 92 276]]
Train Accuracy Score: 0.8005081054923784
Test Accuracy Score: 0.7537260468417317
K-Fold Validation Mean Accuracy: 79.64 %; Standard Deviation: 1.61 %
ROC AUC Score: 0.75 %
Precision: 0.52 %
Recall: 0.75 %
F1 Score: 0.61 %
Classification Report:
precision recall f1-score support
0 0.90 0.76 0.82 1041
1 0.52 0.75 0.61 368
accuracy 0.75 1409
macro avg 0.71 0.75 0.72 1409
weighted avg 0.80 0.75 0.77 1409
------------------------------------------------------------
GBClassifier :
[[799 242]
[104 264]]
Train Accuracy Score: 0.8263972901040406
Test Accuracy Score: 0.7544357700496807
K-Fold Validation Mean Accuracy: 80.69 %; Standard Deviation: 2.40 %
ROC AUC Score: 0.74 %
Precision: 0.52 %
Recall: 0.72 %
F1 Score: 0.60 %
Classification Report:
precision recall f1-score support
0 0.88 0.77 0.82 1041
1 0.52 0.72 0.60 368
accuracy 0.75 1409
macro avg 0.70 0.74 0.71 1409
weighted avg 0.79 0.75 0.77 1409
------------------------------------------------------------
LGBMClassifier :
[[835 206]
[134 234]]
Train Accuracy Score: 0.8991047665134285
Test Accuracy Score: 0.758694109297374
K-Fold Validation Mean Accuracy: 83.29 %; Standard Deviation: 3.94 %
ROC AUC Score: 0.72 %
Precision: 0.53 %
Recall: 0.64 %
F1 Score: 0.58 %
Classification Report:
precision recall f1-score support
0 0.86 0.80 0.83 1041
1 0.53 0.64 0.58 368
accuracy 0.76 1409
macro avg 0.70 0.72 0.71 1409
weighted avg 0.78 0.76 0.77 1409
------------------------------------------------------------
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CatBoostClassifier :
[[838 203]
[129 239]]
Train Accuracy Score: 0.8971691265424631
Test Accuracy Score: 0.7643718949609652
K-Fold Validation Mean Accuracy: 83.60 %; Standard Deviation: 3.79 %
ROC AUC Score: 0.73 %
Precision: 0.54 %
Recall: 0.65 %
F1 Score: 0.59 %
Classification Report:
precision recall f1-score support
0 0.87 0.80 0.83 1041
1 0.54 0.65 0.59 368
accuracy 0.76 1409
macro avg 0.70 0.73 0.71 1409
weighted avg 0.78 0.76 0.77 1409
------------------------------------------------------------
BaggingClassifier :
[[868 173]
[159 209]]
Train Accuracy Score: 0.9887490926687637
Test Accuracy Score: 0.7643718949609652
K-Fold Validation Mean Accuracy: 82.24 %; Standard Deviation: 4.34 %
ROC AUC Score: 0.70 %
Precision: 0.55 %
Recall: 0.57 %
F1 Score: 0.56 %
Classification Report:
precision recall f1-score support
0 0.85 0.83 0.84 1041
1 0.55 0.57 0.56 368
accuracy 0.76 1409
macro avg 0.70 0.70 0.70 1409
weighted avg 0.77 0.76 0.77 1409
------------------------------------------------------------
Hybrid_ensemble :
[[770 271]
[ 97 271]]
Train Accuracy Score: 0.8219211226711831
Test Accuracy Score: 0.7388218594748048
K-Fold Validation Mean Accuracy: 80.27 %; Standard Deviation: 2.05 %
ROC AUC Score: 0.74 %
Precision: 0.50 %
Recall: 0.74 %
F1 Score: 0.60 %
Classification Report:
precision recall f1-score support
0 0.89 0.74 0.81 1041
1 0.50 0.74 0.60 368
accuracy 0.74 1409
macro avg 0.69 0.74 0.70 1409
weighted avg 0.79 0.74 0.75 1409
------------------------------------------------------------
model_comparison = pd.DataFrame(base_1,columns=['Model','Train_Accuracy','Test_Accuracy','K-Fold Mean Accuracy',
'Std.Deviation','ROC_AUC','Precision','Recall','F1 Score'])
model_comparison.sort_values(by=['Recall','F1 Score'],inplace=True,ascending=False)
model_comparison
| Model | Train_Accuracy | Test_Accuracy | K-Fold Mean Accuracy | Std.Deviation | ROC_AUC | Precision | Recall | F1 Score | |
|---|---|---|---|---|---|---|---|---|---|
| 2 | AdaBoostClassifier | 80.050811 | 75.372605 | 79.640054 | 1.607435 | 0.752522 | 0.519774 | 0.750000 | 0.614016 |
| 7 | Hybrid_ensemble | 82.192112 | 73.882186 | 80.269418 | 2.047991 | 0.738043 | 0.500000 | 0.736413 | 0.595604 |
| 3 | GBClassifier | 82.639729 | 75.443577 | 80.692825 | 2.398255 | 0.742461 | 0.521739 | 0.717391 | 0.604119 |
| 5 | CatBoostClassifier | 89.716913 | 76.437189 | 83.596974 | 3.793297 | 0.727226 | 0.540724 | 0.649457 | 0.590123 |
| 4 | LGBMClassifier | 89.910477 | 75.869411 | 83.294632 | 3.944543 | 0.718991 | 0.531818 | 0.635870 | 0.579208 |
| 1 | RandomForest | 99.830632 | 76.366217 | 85.108739 | 3.093462 | 0.720597 | 0.540793 | 0.630435 | 0.582183 |
| 0 | XGBClassifier | 95.366562 | 77.359830 | 83.536851 | 5.094791 | 0.724686 | 0.559902 | 0.622283 | 0.589447 |
| 6 | BaggingClassifier | 98.874909 | 76.437189 | 82.242330 | 4.338744 | 0.700874 | 0.547120 | 0.567935 | 0.557333 |
Best Model: AdaBoostClassifier based on ROC_AUC, Precision, Recall and F1 Score
from sklearn.ensemble import AdaBoostClassifier
# Build the model
model = AdaBoostClassifier(random_state=0)
# Other Parameters to be used:
# 'base_estimator': [RidgeClassifier(random_state=0),LogisticRegression(n_jobs=2, random_state=0),
# SVC(random_state=0), GaussianNB(), BernoulliNB(),DecisionTreeClassifier(random_state=0)]
params = {'n_estimators':list(range(2, 102, 2)),
'learning_rate':[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1],
'algorithm': ['SAMME', 'SAMME.R']}
gs = RandomizedSearchCV(estimator=model, param_distributions=params, cv=5, verbose=10, n_jobs=2, random_state=0)
gs.fit(X_train, y_train)
Fitting 5 folds for each of 10 candidates, totalling 50 fits
RandomizedSearchCV(cv=5, estimator=AdaBoostClassifier(random_state=0), n_jobs=2,
param_distributions={'algorithm': ['SAMME', 'SAMME.R'],
'learning_rate': [0.1, 0.2, 0.3, 0.4,
0.5, 0.6, 0.7, 0.8,
0.9, 1],
'n_estimators': [2, 4, 6, 8, 10, 12, 14,
16, 18, 20, 22, 24, 26,
28, 30, 32, 34, 36, 38,
40, 42, 44, 46, 48, 50,
52, 54, 56, 58, 60, ...]},
random_state=0, verbose=10)
pd.DataFrame({'param': gs.cv_results_["params"],
'score mean': gs.cv_results_["mean_test_score"],
'score s.d.': gs.cv_results_["std_test_score"],
'rank': gs.cv_results_["rank_test_score"]})
| param | score mean | score s.d. | rank | |
|---|---|---|---|---|
| 0 | {'n_estimators': 70, 'learning_rate': 0.4, 'al... | 0.807775 | 0.007268 | 1 |
| 1 | {'n_estimators': 20, 'learning_rate': 0.2, 'al... | 0.789671 | 0.010487 | 9 |
| 2 | {'n_estimators': 60, 'learning_rate': 0.3, 'al... | 0.803870 | 0.007200 | 5 |
| 3 | {'n_estimators': 86, 'learning_rate': 0.4, 'al... | 0.804757 | 0.006453 | 3 |
| 4 | {'n_estimators': 72, 'learning_rate': 0.7, 'al... | 0.803692 | 0.006659 | 6 |
| 5 | {'n_estimators': 28, 'learning_rate': 0.6, 'al... | 0.800497 | 0.008962 | 7 |
| 6 | {'n_estimators': 16, 'learning_rate': 0.5, 'al... | 0.804402 | 0.011307 | 4 |
| 7 | {'n_estimators': 20, 'learning_rate': 0.8, 'al... | 0.799788 | 0.010643 | 8 |
| 8 | {'n_estimators': 20, 'learning_rate': 0.1, 'al... | 0.733582 | 0.000344 | 10 |
| 9 | {'n_estimators': 48, 'learning_rate': 0.5, 'al... | 0.804935 | 0.008103 | 2 |
# Print the best parameters
print('Best Parameters:', gs.best_params_, 'mean score: ', gs.best_score_, sep='\n')
Best Parameters:
{'n_estimators': 70, 'learning_rate': 0.4, 'algorithm': 'SAMME.R'}
mean score:
0.8077749286447145
# Build the model
model = AdaBoostClassifier(random_state=0, n_estimators=70, learning_rate=0.4, algorithm='SAMME.R')
# Train the model
model.fit(X_train, y_train)
model_pred = model.predict(X_test)
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.8091941782037628
Accuracy on Test data: 0.794889992902768
Classification Report:
precision recall f1-score support
0 0.84 0.89 0.87 1041
1 0.63 0.52 0.57 368
accuracy 0.79 1409
macro avg 0.74 0.71 0.72 1409
weighted avg 0.79 0.79 0.79 1409
Confusion Matrix Chart:
We do not see much improvement in the model here.
# Build the model
model = AdaBoostClassifier(random_state=0)
params = {'n_estimators':list(range(2, 102, 2)),
'learning_rate':[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1],
'algorithm': ['SAMME', 'SAMME.R']}
gs = RandomizedSearchCV(estimator=model, param_distributions=params, cv=5, verbose=10, n_jobs=2, random_state=0)
gs.fit(X1, y1)
Fitting 5 folds for each of 10 candidates, totalling 50 fits
RandomizedSearchCV(cv=5, estimator=AdaBoostClassifier(random_state=0), n_jobs=2,
param_distributions={'algorithm': ['SAMME', 'SAMME.R'],
'learning_rate': [0.1, 0.2, 0.3, 0.4,
0.5, 0.6, 0.7, 0.8,
0.9, 1],
'n_estimators': [2, 4, 6, 8, 10, 12, 14,
16, 18, 20, 22, 24, 26,
28, 30, 32, 34, 36, 38,
40, 42, 44, 46, 48, 50,
52, 54, 56, 58, 60, ...]},
random_state=0, verbose=10)
pd.DataFrame({'param': gs.cv_results_["params"],
'score mean': gs.cv_results_["mean_test_score"],
'score s.d.': gs.cv_results_["std_test_score"],
'rank': gs.cv_results_["rank_test_score"]})
| param | score mean | score s.d. | rank | |
|---|---|---|---|---|
| 0 | {'n_estimators': 70, 'learning_rate': 0.4, 'al... | 0.791315 | 0.011328 | 2 |
| 1 | {'n_estimators': 20, 'learning_rate': 0.2, 'al... | 0.776919 | 0.009599 | 9 |
| 2 | {'n_estimators': 60, 'learning_rate': 0.3, 'al... | 0.787444 | 0.011255 | 4 |
| 3 | {'n_estimators': 86, 'learning_rate': 0.4, 'al... | 0.783936 | 0.012594 | 6 |
| 4 | {'n_estimators': 72, 'learning_rate': 0.7, 'al... | 0.793615 | 0.015035 | 1 |
| 5 | {'n_estimators': 28, 'learning_rate': 0.6, 'al... | 0.786356 | 0.012193 | 5 |
| 6 | {'n_estimators': 16, 'learning_rate': 0.5, 'al... | 0.781153 | 0.010815 | 7 |
| 7 | {'n_estimators': 20, 'learning_rate': 0.8, 'al... | 0.777403 | 0.009757 | 8 |
| 8 | {'n_estimators': 20, 'learning_rate': 0.1, 'al... | 0.750426 | 0.015011 | 10 |
| 9 | {'n_estimators': 48, 'learning_rate': 0.5, 'al... | 0.791074 | 0.012627 | 3 |
print('Best Parameters:', gs.best_params_, 'mean score: ', gs.best_score_, sep='\n')
Best Parameters:
{'n_estimators': 72, 'learning_rate': 0.7, 'algorithm': 'SAMME.R'}
mean score:
0.7936147022269429
# Build the model
model = AdaBoostClassifier(random_state=0, n_estimators=72, learning_rate=0.7, algorithm='SAMME.R')
# Train the model
model.fit(X1, y1)
model_pred = model.predict(X_test)
# Classification Accuracy
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.7635782747603834
Accuracy on Test data: 0.7508871540099361
Classification Report:
precision recall f1-score support
0 0.89 0.75 0.82 1041
1 0.52 0.75 0.61 368
accuracy 0.75 1409
macro avg 0.71 0.75 0.71 1409
weighted avg 0.80 0.75 0.76 1409
Confusion Matrix Chart:
Evaluation metrics allow us to estimate errors to determine how well our models are performing:
Accuracy: ratio of correct predictions over total predictions.
Precision: how often the classifier is correct when it predicts positive.
Recall: how often the classifier is correct for all positive instances.
F-Score: single measurement to combine precision and recall.
Performance here is almost same as that of the base model in section 1.3.3.
# Final model from the above modeling process: Base Model without Hypertuning
# Build the model
model = AdaBoostClassifier(random_state=0)
# Train the model
model.fit(X1, y1)
model_pred = model.predict(X_test)
# Classification Accuracy
print('')
print('Accuracy on Training data:',model.score(X_train, y_train))
print('Accuracy on Test data:',model.score(X_test, y_test))
print('')
# Classification Report
print("Classification Report:\n",classification_report(y_test, model_pred))
# Confusion Matrix
print("Confusion Matrix Chart:")
cm = confusion_matrix(y_test, model_pred, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Churn-No","Churn-Yes"]],
columns = [i for i in ["Churn-No","Churn-Yes"]])
plt.figure(figsize = (7,5))
sns.heatmap(df_cm, annot=True, fmt='g')
plt.show()
Accuracy on Training data: 0.763400780972666
Accuracy on Test data: 0.7537260468417317
Classification Report:
precision recall f1-score support
0 0.90 0.76 0.82 1041
1 0.52 0.75 0.61 368
accuracy 0.75 1409
macro avg 0.71 0.75 0.72 1409
weighted avg 0.80 0.75 0.77 1409
Confusion Matrix Chart:
# Import pickle Package
import pickle
# Save the ML model to a file in the current working directory
Pkl_Filename = "Pickle_AdaBoostClassifier_Model.pkl"
with open(Pkl_Filename, 'wb') as file:
pickle.dump(model, file)
# Load the ML Model back from the file
with open(Pkl_Filename, 'rb') as file:
Pickle_AdaBoostClassifier_Model = pickle.load(file)
Pickle_AdaBoostClassifier_Model
AdaBoostClassifier(random_state=0)